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Enterprise content analysis and platform configuration for enterprise content management is often carried out by external consultants that are not necessarily domain experts. In this paper, we propose a set of methods for automatic content analysis that allow users to gain a high level view of the enterprise content. Here, a main concern is the automatic… (More)

Microposts are small fragments of social media content and a popular medium for sharing facts, opinions and emotions. Collectively, they comprise a wealth of data that is increasing exponentially, and which therefore presents new challenges for the Information Extraction community, among others. This paper describes the Making Sense of Microposts… (More)

Using a set of parental and recombinant murine hepatitis virus strains, we demonstrate that the nucleocapsid protein induces transcription of the novel fgl2 prothrombinase gene and elevated procoagulant activity in those strains that produce fulminant hepatitis. Chinese hamster ovary cells cotransfected with a construct expressing nucleocapsid protein from… (More)

The cDNA encoding prostacyclin synthase (PGIS) was isolated from a bovine arota cDNA library. The cDNA contained an open reading frame of 1500 nucleotides encoding a polypeptide of 500 amino acids with a Mr of 56,675. The predicted amino acid sequence contains four polypeptide sequences determined from purified bovine PGIS. Comparison of the PGIS sequence… (More)

Autoantibodies in systemic lupus erythematosus react with multiple epitopes on highly conserved molecules such as nucleic acids, cytoskeletal proteins, phospholipids, and phospholipid-binding proteins. Analysis of the heavy- and light-chain variable sequences (VH and VL) has shown that a restricted set of V genes gives rise to these autoantibodies. Several… (More)

The number of available Linked Data datasets has been increasing over time. Despite this, their use to recognise entities in unstructured plain text (Entity Linking task) is still limited to a small number of datasets. In this paper we propose a framework adaptable to the structure of generic Linked Data datasets. This adaptability allows a broader use of… (More)

The Named Entity Recognition Task is one of the most common steps used in natural language applications. Linked Data datasets have been presented as promising background knowledge for Named Entity Recognition algorithms due to the amount of data available and the high variety of knowledge domains they cover. However, the discovery of names in Linked Data… (More)